4 papers · 1 filter
A Robust Anchor-based Method for Multi-Camera Pedestrian Localization
Wanyu Zhang, Jiaqi Zhang, Dongdong Ge +4
This paper addresses the problem of vision-based pedestrian localization, which estimates a pedestrian's location using images and camera parameters. In practice, however, calibrat…
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
Yu Lin, Zhiheng Li, Yubo Cui +1
3D single object tracking (SOT) is an important and challenging task for the autonomous driving and mobile robotics. Most existing methods perform tracking between two consecutive…
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Zhiheng Li, Yu Lin, Yubo Cui +2
3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to esti…
MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
Zhiheng Li, Yubo Cui, Yu Lin +1
3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search ar…